Model comparison
GPT-5-Codex vs Grok 4 Fast
Grok 4 Fast is the stronger model overall, scoring 39.0 to 37.3 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5-Codex scores higher in 3 categories and Grok 4 Fast in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5-Codex leads 41.9 to 32.3.
- The biggest single-benchmark swing is WeirdML: 54.5% for GPT-5-Codex and 42.9% for Grok 4 Fast.
Side by side
| GPT-5-Codex | Grok 4 Fast | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 37.3 | 39.0 |
| Released | 2025-09-15 | 2025-09-19 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 30 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 41.9 (#100), Grok 4 Fast: 32.3 (#264)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| WeirdML | 54.5% | 42.9% |
| LMArena WebDev | — | 1160 |
| LMArena Coding | — | 1429 |
Agentic & Tool Use GPT-5-Codex leads
GPT-5-Codex: 30.8 (#66), Grok 4 Fast: 29.3 (#80)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| τ²-bench Banking | — | 15.7% |
| Cybench | — | 30% |
| LMArena Search | — | 1171 |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.0 (#80), Grok 4 Fast: 22.5 (#179)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 66.1% |
| ARC-AGI-2 | — | 5.3% |
| ARC-AGI-1 | — | 48.5% |
| LMArena Hard Prompts | — | 1413 |
| DTBench | — | 82.7% |
| Epoch Capabilities Index | — | 144.21 |
| ForecastBench | — | 60.5 |
Math Not comparable
GPT-5-Codex: —, Grok 4 Fast: 36.1 (#126)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| LMArena Math | — | 1419 |
Knowledge Not comparable
GPT-5-Codex: —, Grok 4 Fast: 31.5 (#211)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| Vectara Hallucination Rate | — | 19.7% |
| LMArena Expert | — | 1411 |
Multilingual Not comparable
GPT-5-Codex: —, Grok 4 Fast: 51.5 (#106)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| LMArena Non-English | — | 1397 |
| LMArena Chinese | — | 1458 |
| LMArena French | — | 1433 |
| LMArena German | — | 1383 |
| LMArena Japanese | — | 1358 |
| LMArena Korean | — | 1359 |
| LMArena Russian | — | 1387 |
| LMArena Spanish | — | 1414 |
Instruction Following Not comparable
GPT-5-Codex: —, Grok 4 Fast: 73.4 (#116)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| LMArena Instruction Following | — | 1388 |
Long Context Not comparable
GPT-5-Codex: —, Grok 4 Fast: 63.2 (#3)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| Fiction.LiveBench | — | 94.4% |
| LMArena Longer Query | — | 1415 |
Writing & Preference Not comparable
GPT-5-Codex: —, Grok 4 Fast: 60.2 (#96)
| Benchmark | GPT-5-Codex | Grok 4 Fast |
|---|---|---|
| LMArena Text | — | 1407 |
| LMArena Creative Writing | — | 1388 |
| LMArena Multi-Turn | — | 1414 |
Frequently asked questions
Is GPT-5-Codex better than Grok 4 Fast?
Grok 4 Fast is the stronger model overall, scoring 39.0 to 37.3 on the Noometry Index.
Is GPT-5-Codex or Grok 4 Fast better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 32.3 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and Grok 4 Fast share?
2 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Grok 4 Fast has 30.